Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2023 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human-computer interaction. The expression of human emotion depends on …
applications to human-computer interaction. The expression of human emotion depends on …
Human activity recognition via hybrid deep learning based model
In recent years, Human Activity Recognition (HAR) has become one of the most important
research topics in the domains of health and human-machine interaction. Many Artificial …
research topics in the domains of health and human-machine interaction. Many Artificial …
A systematic literature review of speech emotion recognition approaches
YB Singh, S Goel - Neurocomputing, 2022 - Elsevier
Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …
researchers because of its wide real-life applications. There are many challenges for SER …
Att-Net: Enhanced emotion recognition system using lightweight self-attention module
S Kwon - Applied Soft Computing, 2021 - Elsevier
Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …
AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network
Speech signals are the most convenient way of communication between human beings and
the eventual method of Human–Computer Interaction (HCI) to exchange emotions and …
the eventual method of Human–Computer Interaction (HCI) to exchange emotions and …
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
Speech emotion recognition based on multiple acoustic features and deep convolutional neural network
K Bhangale, M Kothandaraman - Electronics, 2023 - mdpi.com
Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …
number of SER schemes have been anticipated over the last decade. However, the …
Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …
exchanging information among human beings, and the best way for human–computer …
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …